OpenAI Privacy Filter
OpenAI Privacy Filter is a released long context and classification model with open-source and 128k context; evaluate it while provider pricing coverage matures.
Use it for
- Teams evaluating long context and classification
- Workloads that can use a 128k context window
Do not use it for
- Cost-sensitive launches that need sourced token pricing
- Vision or document-understanding workloads
- Strict JSON or tool-calling flows
- Family
- OpenAI Privacy Filter
- Released
- 2026-04-22
- Context
- 128k
- Parameters
- 1.5B
- Architecture
- Encoder Only
- Specialization
- safety
- Openness
- Open source
- License
- Apache 2.0OSI-approvedCommercial use: permitted
- Weights
- Available
- Code
- Unknown
- Training
- Pretrained
No tracked provider token pricing is available yet.
About
OpenAI Privacy Filter is an Apache 2.0 open-weight bidirectional token-classification model for detecting and redacting personally identifiable information in text. OpenAI reports 1.5B total parameters, 50M active parameters, 128k-token context, and availability on Hugging Face and GitHub; this is a new specialist model release rather than a ChatGPT feature or endpoint alias.
Top use-case fit
Long context
Included by capability and metadata signals in the decision map.
Classification
Included by capability and metadata signals in the decision map.
Provider price ladder
No tracked provider token pricing is available for this model yet.
Capabilities
No model capability flags are currently sourced.
Benchmark peer barsfor Long context
No task-mapped benchmark peers are available for this model yet.
Migration checks
No linked migration route is available for this model yet.
No tracked provider token pricing is available yet.